donut-stnk-v5_3_2-left-naver-clova
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0496
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.2341 | 1.0 | 215 | 0.0754 |
0.1136 | 2.0 | 430 | 0.0562 |
0.0607 | 3.0 | 645 | 0.0496 |
0.0458 | 4.0 | 860 | 0.0497 |
0.0275 | 5.0 | 1075 | 0.0527 |
0.0232 | 6.0 | 1290 | 0.0581 |
Framework versions
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
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